z-logo
open-access-imgOpen Access
Catalytic conversion reactions in nanoporous systems with concentration-dependent selectivity: Statistical mechanical modeling
Author(s) -
Andrés García,
Jing Wang,
Theresa L. Windus,
Aaron D. Sadow,
James W. Evans
Publication year - 2016
Publication title -
physical review. e
Language(s) - English
Resource type - Journals
eISSN - 2470-0053
pISSN - 2470-0045
DOI - 10.1103/physreve.93.052137
Subject(s) - selectivity , nanoporous , thermal diffusivity , catalysis , kinetic monte carlo , monte carlo method , diffusion , nanopore , kinetic energy , materials science , reaction rate , chemical physics , thermodynamics , chemistry , physics , nanotechnology , organic chemistry , statistics , mathematics , quantum mechanics
Statistical mechanical modeling is developed to describe a catalytic conversion reaction A→B^{c} or B^{t} with concentration-dependent selectivity of the products, B^{c} or B^{t}, where reaction occurs inside catalytic particles traversed by narrow linear nanopores. The associated restricted diffusive transport, which in the extreme case is described by single-file diffusion, naturally induces strong concentration gradients. Furthermore, by comparing kinetic Monte Carlo simulation results with analytic treatments, selectivity is shown to be impacted by strong spatial correlations induced by restricted diffusivity in the presence of reaction and also by a subtle clustering of reactants, A.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom